A Bibliometric Review of Decision Models in Uncertainty Between 1990 and 2018

The increase in uncertainty due to frequent changes affects decision making, increasing the complexity of choosing the best decisions. For this reason, the decision-maker is looking for alternatives to reduce risks and meet these new challenges. In this context, the document aims to carry out a bibliometric review of decision models under uncertainty between 1990 and 2018 and to learn about the scientific progress of seventeen peer-validated models. It analyses 21,535 articles in nine bibliometric indicators extracted from the Web of Science database. As main results, a positive trend of publications in the analysed models observed, being the Analytical Hierarchical Process (AHP) the most used one. Also, China presented as a country with more scientific collaborations. There is excellent potential for future lines of research on the subject.